Best Data Management Software for Appian

Find and compare the best Data Management software for Appian in 2026

Use the comparison tool below to compare the top Data Management software for Appian on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Apryse PDF SDK Reviews
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    Apryse (formerly PDFTron) makes documents work harder for you. We give organizations the power to handle the full document lifecycle — from secure server-side processing to smooth web-based collaboration — without relying on third-party services. With Apryse, you can: Integrate advanced document capabilities like viewing, editing, annotation, and e-signature directly into your applications. Deploy on your own infrastructure for maximum control, privacy, and compliance. Scale effortlessly with technology built for high-volume, enterprise-grade workflows. Deliver modern web experiences that are fast, accessible, and reliable across browsers and devices. Trusted worldwide, Apryse helps enterprises, developers, and small businesses simplify workflows, cut costs, and deliver better digital document experiences.
  • 2
    TCS MasterCraft DataPlus Reviews

    TCS MasterCraft DataPlus

    Tata Consultancy Services

    Data management software is predominantly utilized by enterprise business teams, necessitating a design that prioritizes user-friendliness, automation, and intelligence. Furthermore, it is essential for the software to comply with a variety of industry-specific regulations and data protection mandates. To ensure that business teams can make informed, data-driven strategic decisions, the data must maintain standards of adequacy, accuracy, consistency, high quality, and secure accessibility. The software promotes an integrated methodology for managing data privacy, ensuring data quality, overseeing test data management, facilitating data analytics, and supporting data modeling. Additionally, it effectively manages escalating data volumes through a service engine-based architecture, while also addressing specialized data processing needs beyond standard functionalities via a user-defined function framework and Python adapter. Moreover, it establishes a streamlined governance framework that focuses on data privacy and quality management, enhancing overall data integrity. As a result, organizations can confidently rely on this software to support their evolving data requirements.
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